SPP 2262:  Memristive Devices Toward Smart Technical Systems

• Subject Area: Computer Science, Systems and Electrical Engineering ; Materials Science and Engineering ; Medicine ; Physics
• Term: since 2020
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 422738993

The Priority Programme “Memristive Devices Toward Smart Technical Systems” (MemrisTec, SPP 2262) has been established by the Senate of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation). The programme started in 2021 and is planned to run for six years (two phases each with a duration of 3 years). The project proposal was initiated and coordinated by Prof. Ronald Tetzlaff. We propose a coordination project for the second phase of MemrisTec dedicated to active stimulation, coordination and knowledge exchange between projects, but also to the expansion of the circuit design software platform that provides simulation tools for circuits based on published memristor models developed in MemrisTec projects. By means of a cloud server and the MemrisTec Software Platform, information, model implementations and data will be made available to facilitate communication between the project partners. Furthermore, the initiation and coordination of joint scientific publications, which will be presented in project workshops, will take place within the coordination project. The promotion of young scientists and improvements in gender equality in an international environment are important components of the planned activities. Finally, the interactive website memristec.de will continue to be maintained and information will be distributed via social media (Mastodon, LinkedIn and Twitter). Special sessions at international conferences (e.g. MEMRISYS, ISCAS) will be organized in collaboration with the project partners, and demonstrators will be presented at the fair embedded world in Nuremberg.

• DFG Programme: Priority Programmes
• International Connection: Italy, Netherlands, Spain

Projects

• Coordination Funds (Applicant Tetzlaff, Ronald )
• Domino Processing Unit: Towards Novel High Efficient In-Memory-Computing (MemDPU) (Applicants Du, Ph.D., Nan ;  Menzel, Stephan )
• High Performance Computing in Memristive Crossbars by Thermal-Heat Coupling (MemCouple) (Applicants Menzel, Stephan ;  Ziegler, Martin )
• Hybrid Memristive Device with Multilevel-Modulated Electrical Conductance of Interfaced Atomically Thin 2D Materials and Molecular Oxides (2DPOMristor) (Applicants Devi, Anjana ;  Heine, Thomas ;  Monakhov, Kirill )
• Hybrid MEMristor-CMOS Micro Electrode Array bio-sensing platform (MEMMEA) (Applicants Dubourdieu, Catherine ;  Jones, Peter ;  Menzel, Stephan ;  Thewes, Roland )
• MemDANCE: Memristor-based Dendritic Analog Computing Enhancement (Applicants Pipa, Gordon ;  Strachan, John Paul )
• MEMRED- Memristive circuits for analogue computing with Redox-based memristive devices (Applicants Negra, Renato ;  Valov, Ilia )
• Memristive hybrid on-chip memory for a low-power RISC-V processor - Design and Implementation (HYB-RISC) (Applicants Fey, Dietmar ;  Wenger, Christian )
• Memristive Time Difference Encoder (MemTDE) (Applicants Chicca, Ph.D., Elisabetta ;  Dittmann, Regina )
• Memristives In-Memory-Computing: Radiation hard Memory for Computing in Space (Applicants Fey, Dietmar ;  Hagelauer, Amelie ;  Reichenbach, Marc ;  Wenger, Christian )
• Neurotransistor-based Memristive Crossbar Memcomputing (NeuroMCross) (Applicants Mikolajick, Thomas ;  Slesazeck, Stefan ;  Tetzlaff, Ronald )
• Organic Memcapacitors for Large-Area, Neuromorphic Pattern Recognition: Development of an Electronic Trap System (MemTrap) (Applicants Boroujeni, Bahman K. ;  Ellinger, Frank ;  Mannsfeld, Stefan )
• Reconfigurable logic and Multi-bit in-memory processing with ferroelectric memristors -ReLoFeMris (Applicants Fey, Dietmar ;  Slesazeck, Stefan )
• REservoir COMputing with MEmristive Nonlinear Dynamics: Theory, Design and Applications (RECOMMEND) (Applicants Corinto, Ph.D., Fernando ;  Tetzlaff, Ronald ;  Ziegler, Martin )
• ROBCOMM: Robust Compute-in Memory using Memristors (Applicants Tahoori, Ph.D., Mehdi B. ;  Wouters, Dirk )
• Structural plasticity and multi-time-scale learning in physical reservoirs (Applicants Kleemann, Hans ;  Tetzlaff, Christian )
• Universal Memcomputing in Hardware Realizations of Memristor Cellular Nonlinear Networks (Applicants Carmona-Galan, Ricardo ;  Rana, Ph.D., Vikas ;  Tetzlaff, Ronald )

• Spokesperson: Professor Dr. Ronald Tetzlaff